{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Use OSMnx to create and analyze a NetworkX street network\n",
    "\n",
    "OSMnx is a Python library that lets you download spatial geometries and construct, project, and visualize street networks from OpenStreetMap's API.\n",
    "\n",
    "More about OSMnx: https://github.com/gboeing/osmnx\n",
    "\n",
    "Install OSMnx: `conda install -c conda-forge osmnx`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import osmnx as ox, networkx as nx, pandas as pd\n",
    "%matplotlib inline\n",
    "ox.config(log_console=True, use_cache=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Calculate basic (and more advanced) street network metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# get the network for Piedmont, calculate its basic stats, then show the average circuity\n",
    "stats = ox.basic_stats(ox.graph_from_place('Piedmont, California, USA', network_type='drive_service'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'circuity_avg': 1.1101568145581493,\n",
       " 'count_intersections': 324,\n",
       " 'edge_density_km': None,\n",
       " 'edge_length_avg': 118.4376013547462,\n",
       " 'edge_length_total': 116779.47493577976,\n",
       " 'intersection_density_km': None,\n",
       " 'k_avg': 5.3732970027247955,\n",
       " 'm': 986,\n",
       " 'n': 367,\n",
       " 'node_density_km': None,\n",
       " 'self_loop_proportion': 0.006085192697768763,\n",
       " 'street_density_km': None,\n",
       " 'street_length_avg': 118.47308844091958,\n",
       " 'street_length_total': 60658.221281750826,\n",
       " 'street_segments_count': 512,\n",
       " 'streets_per_node_avg': 2.904632152588556,\n",
       " 'streets_per_node_counts': {0: 0, 1: 43, 2: 2, 3: 272, 4: 48, 5: 1, 6: 1},\n",
       " 'streets_per_node_proportion': {0: 0.0,\n",
       "  1: 0.11716621253405994,\n",
       "  2: 0.005449591280653951,\n",
       "  3: 0.7411444141689373,\n",
       "  4: 0.1307901907356948,\n",
       "  5: 0.0027247956403269754,\n",
       "  6: 0.0027247956403269754}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.1101568145581493"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['circuity_avg']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "To calculate density-based metrics, you must also pass the network's bounding area in square meters (otherwise `basic_stats()` will just skip them in the calculation):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# get the street network for a place, and its area in square meters (by projecting)\n",
    "place = 'Piedmont, California, USA'\n",
    "gdf = ox.gdf_from_place(place)\n",
    "area = ox.project_gdf(gdf).unary_union.area\n",
    "G = ox.graph_from_place(place, network_type='drive_service')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "avg_neighbor_degree                    {53107192: 2.6666666666666665, 53090322: 3.0, ...\n",
       "avg_neighbor_degree_avg                                                          2.89668\n",
       "avg_weighted_neighbor_degree           {53107192: 0.019179456801477934, 53090322: 0.0...\n",
       "avg_weighted_neighbor_degree_avg                                               0.0328481\n",
       "betweenness_centrality                 {53092207: 0.005202460905249439, 53107192: 0.0...\n",
       "betweenness_centrality_avg                                                     0.0388068\n",
       "center                                                                       [305541020]\n",
       "circuity_avg                                                                     1.11016\n",
       "closeness_centrality                   {53092207: 0.000522047192008307, 53107192: 0.0...\n",
       "closeness_centrality_avg                                                     0.000593005\n",
       "clustering_coefficient                 {53107192: 0.0, 53090322: 0.0, 53082627: 0.333...\n",
       "clustering_coefficient_avg                                                     0.0744777\n",
       "clustering_coefficient_weighted        {53107192: 0.0, 53090322: 0.0, 53082627: 0.023...\n",
       "clustering_coefficient_weighted_avg                                            0.0115481\n",
       "count_intersections                                                                  324\n",
       "degree_centrality                      {53090322: 0.01639344262295082, 53090323: 0.01...\n",
       "degree_centrality_avg                                                          0.0146811\n",
       "diameter                                                                         5023.78\n",
       "eccentricity                           {53092207: 3629.170379906616, 53090322: 3432.8...\n",
       "edge_density_km                                                                  26867.6\n",
       "edge_length_avg                                                                  118.438\n",
       "edge_length_total                                                                 116779\n",
       "intersection_density_km                                                          74.5432\n",
       "k_avg                                                                             5.3733\n",
       "m                                                                                    986\n",
       "n                                                                                    367\n",
       "node_density_km                                                                  84.4363\n",
       "pagerank                               {53090322: 0.0037665428093308826, 53090323: 0....\n",
       "pagerank_max                                                                  0.00854043\n",
       "pagerank_max_node                                                               53036558\n",
       "pagerank_min                                                                 0.000587028\n",
       "pagerank_min_node                                                              682931951\n",
       "periphery                                                                     [53065785]\n",
       "radius                                                                           2507.94\n",
       "self_loop_proportion                                                          0.00608519\n",
       "street_density_km                                                                13955.7\n",
       "street_length_avg                                                                118.473\n",
       "street_length_total                                                              60658.2\n",
       "street_segments_count                                                                512\n",
       "streets_per_node_avg                                                             2.90463\n",
       "streets_per_node_counts                   {0: 0, 1: 43, 2: 2, 3: 272, 4: 48, 5: 1, 6: 1}\n",
       "streets_per_node_proportion            {0: 0.0, 1: 0.11716621253405994, 2: 0.00544959...\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate basic and extended network stats, merge them together, and display\n",
    "stats = ox.basic_stats(G, area=area)\n",
    "extended_stats = ox.extended_stats(G, ecc=True, bc=True, cc=True)\n",
    "for key, value in extended_stats.items():\n",
    "    stats[key] = value\n",
    "pd.Series(stats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Notice that this returns the basic stats as a dict, which we threw into a pandas series. Degree counts and proportions are nested dicts inside it. To convert these stats to a pandas dataframe (to compare/analyze multiple networks against each other), just unpack these nested dicts first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>circuity_avg</th>\n",
       "      <th>count_intersections</th>\n",
       "      <th>edge_density_km</th>\n",
       "      <th>edge_length_avg</th>\n",
       "      <th>edge_length_total</th>\n",
       "      <th>int_0_count</th>\n",
       "      <th>int_0_prop</th>\n",
       "      <th>int_1_count</th>\n",
       "      <th>int_1_prop</th>\n",
       "      <th>int_2_count</th>\n",
       "      <th>...</th>\n",
       "      <th>k_avg</th>\n",
       "      <th>m</th>\n",
       "      <th>n</th>\n",
       "      <th>node_density_km</th>\n",
       "      <th>self_loop_proportion</th>\n",
       "      <th>street_density_km</th>\n",
       "      <th>street_length_avg</th>\n",
       "      <th>street_length_total</th>\n",
       "      <th>street_segments_count</th>\n",
       "      <th>streets_per_node_avg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.110157</td>\n",
       "      <td>324.0</td>\n",
       "      <td>26867.64835</td>\n",
       "      <td>118.437601</td>\n",
       "      <td>116779.474936</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.117166</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.373297</td>\n",
       "      <td>986.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>84.436301</td>\n",
       "      <td>0.006085</td>\n",
       "      <td>13955.738025</td>\n",
       "      <td>118.473088</td>\n",
       "      <td>60658.221282</td>\n",
       "      <td>512.0</td>\n",
       "      <td>2.904632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   circuity_avg  count_intersections  edge_density_km  edge_length_avg  \\\n",
       "0      1.110157                324.0      26867.64835       118.437601   \n",
       "\n",
       "   edge_length_total  int_0_count  int_0_prop  int_1_count  int_1_prop  \\\n",
       "0      116779.474936          0.0         0.0         43.0    0.117166   \n",
       "\n",
       "   int_2_count          ...              k_avg      m      n  node_density_km  \\\n",
       "0          2.0          ...           5.373297  986.0  367.0        84.436301   \n",
       "\n",
       "   self_loop_proportion  street_density_km  street_length_avg  \\\n",
       "0              0.006085       13955.738025         118.473088   \n",
       "\n",
       "   street_length_total  street_segments_count  streets_per_node_avg  \n",
       "0         60658.221282                  512.0              2.904632  \n",
       "\n",
       "[1 rows x 30 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# unpack dicts into individiual keys:values\n",
    "stats = ox.basic_stats(G, area=area)\n",
    "for k, count in stats['streets_per_node_counts'].items():\n",
    "    stats['int_{}_count'.format(k)] = count\n",
    "for k, proportion in stats['streets_per_node_proportion'].items():\n",
    "    stats['int_{}_prop'.format(k)] = proportion\n",
    "\n",
    "# delete the no longer needed dict elements\n",
    "del stats['streets_per_node_counts']\n",
    "del stats['streets_per_node_proportion']\n",
    "\n",
    "# load as a pandas dataframe\n",
    "pd.DataFrame(pd.Series(stats)).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.11716621253405994\n",
      "0.7411444141689373\n",
      "0.1307901907356948\n"
     ]
    }
   ],
   "source": [
    "# proportion of intersections that are cul-de-sacs, T-intersections, and X-intersections?\n",
    "print(stats['int_1_prop'])\n",
    "print(stats['int_3_prop'])\n",
    "print(stats['int_4_prop'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{53017091: 3,\n",
       " 53018397: 3,\n",
       " 53018399: 3,\n",
       " 53018402: 3,\n",
       " 53018404: 3,\n",
       " 53018410: 3,\n",
       " 53018411: 3,\n",
       " 53021742: 4,\n",
       " 53021743: 3,\n",
       " 53021750: 3,\n",
       " 53022623: 3,\n",
       " 53022625: 1,\n",
       " 53023513: 3,\n",
       " 53025057: 3,\n",
       " 53025060: 3,\n",
       " 53025220: 3,\n",
       " 53025222: 1,\n",
       " 53027454: 3,\n",
       " 53027455: 3,\n",
       " 53027457: 4,\n",
       " 53027459: 3,\n",
       " 53027461: 3,\n",
       " 53027463: 3,\n",
       " 53028190: 3,\n",
       " 53028192: 4,\n",
       " 53033660: 4,\n",
       " 53035699: 4,\n",
       " 53036557: 3,\n",
       " 53036558: 6,\n",
       " 53037306: 3,\n",
       " 53037307: 3,\n",
       " 53040495: 4,\n",
       " 53040794: 3,\n",
       " 53041432: 3,\n",
       " 53041437: 3,\n",
       " 53041440: 3,\n",
       " 53041442: 4,\n",
       " 53041443: 4,\n",
       " 53041445: 3,\n",
       " 53041668: 3,\n",
       " 53041670: 1,\n",
       " 53042706: 3,\n",
       " 53042707: 3,\n",
       " 53044573: 1,\n",
       " 53044575: 3,\n",
       " 53044661: 3,\n",
       " 53044664: 3,\n",
       " 53046249: 3,\n",
       " 53046250: 3,\n",
       " 53046251: 3,\n",
       " 53046252: 3,\n",
       " 53046253: 3,\n",
       " 53046254: 3,\n",
       " 53046255: 4,\n",
       " 53050874: 3,\n",
       " 53050875: 3,\n",
       " 53057697: 4,\n",
       " 53057704: 3,\n",
       " 53059166: 3,\n",
       " 53059173: 4,\n",
       " 53059175: 3,\n",
       " 53059186: 3,\n",
       " 53059187: 3,\n",
       " 53059189: 3,\n",
       " 53059885: 3,\n",
       " 53060462: 3,\n",
       " 53060465: 3,\n",
       " 53060466: 4,\n",
       " 53060467: 3,\n",
       " 53060468: 4,\n",
       " 53060469: 4,\n",
       " 53060471: 4,\n",
       " 53060473: 3,\n",
       " 53062956: 4,\n",
       " 53062958: 3,\n",
       " 53064300: 3,\n",
       " 53064302: 3,\n",
       " 53064305: 3,\n",
       " 53064327: 3,\n",
       " 53064328: 3,\n",
       " 53064329: 3,\n",
       " 53064330: 3,\n",
       " 53064331: 3,\n",
       " 53065783: 3,\n",
       " 53065785: 1,\n",
       " 53066716: 4,\n",
       " 53066717: 3,\n",
       " 53068822: 3,\n",
       " 53068826: 4,\n",
       " 53068829: 3,\n",
       " 53073689: 3,\n",
       " 53073691: 4,\n",
       " 53073816: 3,\n",
       " 53073822: 3,\n",
       " 53073843: 4,\n",
       " 53074376: 3,\n",
       " 53074377: 3,\n",
       " 53074380: 3,\n",
       " 53075311: 3,\n",
       " 53075599: 4,\n",
       " 53075602: 3,\n",
       " 53075606: 4,\n",
       " 53076244: 3,\n",
       " 53076245: 3,\n",
       " 53076246: 3,\n",
       " 53076247: 3,\n",
       " 53076250: 3,\n",
       " 53076382: 3,\n",
       " 53076384: 4,\n",
       " 53076391: 3,\n",
       " 53076392: 3,\n",
       " 53076395: 3,\n",
       " 53076399: 3,\n",
       " 53077316: 1,\n",
       " 53078467: 3,\n",
       " 53078468: 3,\n",
       " 53078469: 3,\n",
       " 53078473: 3,\n",
       " 53078914: 3,\n",
       " 53079888: 3,\n",
       " 53080198: 3,\n",
       " 53081989: 3,\n",
       " 53081990: 3,\n",
       " 53082619: 3,\n",
       " 53082621: 3,\n",
       " 53082625: 3,\n",
       " 53082627: 3,\n",
       " 53082631: 3,\n",
       " 53082632: 3,\n",
       " 53082634: 3,\n",
       " 53082640: 3,\n",
       " 53082643: 3,\n",
       " 53082644: 3,\n",
       " 53082645: 3,\n",
       " 53085009: 3,\n",
       " 53085375: 3,\n",
       " 53085377: 4,\n",
       " 53085380: 3,\n",
       " 53085382: 3,\n",
       " 53085385: 3,\n",
       " 53085387: 4,\n",
       " 53085388: 4,\n",
       " 53085389: 3,\n",
       " 53086074: 3,\n",
       " 53088880: 3,\n",
       " 53088882: 3,\n",
       " 53089336: 3,\n",
       " 53090322: 3,\n",
       " 53090323: 3,\n",
       " 53090940: 3,\n",
       " 53091598: 3,\n",
       " 53092199: 3,\n",
       " 53092201: 4,\n",
       " 53092203: 3,\n",
       " 53092207: 3,\n",
       " 53092210: 3,\n",
       " 53092214: 3,\n",
       " 53092218: 4,\n",
       " 53092220: 4,\n",
       " 53092226: 3,\n",
       " 53093356: 3,\n",
       " 53093359: 4,\n",
       " 53093360: 4,\n",
       " 53093362: 3,\n",
       " 53093365: 3,\n",
       " 53093372: 3,\n",
       " 53095909: 3,\n",
       " 53097380: 4,\n",
       " 53097585: 3,\n",
       " 53097586: 3,\n",
       " 53097976: 3,\n",
       " 53097980: 4,\n",
       " 53099375: 3,\n",
       " 53100222: 3,\n",
       " 53100223: 3,\n",
       " 53100813: 3,\n",
       " 53101282: 3,\n",
       " 53101285: 3,\n",
       " 53102808: 3,\n",
       " 53107191: 3,\n",
       " 53107192: 3,\n",
       " 53108990: 3,\n",
       " 53108992: 3,\n",
       " 53111728: 3,\n",
       " 53111730: 4,\n",
       " 53112467: 3,\n",
       " 53112473: 3,\n",
       " 53112476: 3,\n",
       " 53113943: 4,\n",
       " 53113946: 4,\n",
       " 53113947: 3,\n",
       " 53114726: 4,\n",
       " 53114727: 3,\n",
       " 53114730: 3,\n",
       " 53114732: 3,\n",
       " 53114734: 3,\n",
       " 53115407: 3,\n",
       " 53116276: 3,\n",
       " 53116302: 3,\n",
       " 53116304: 1,\n",
       " 53116661: 3,\n",
       " 53116662: 3,\n",
       " 53116664: 3,\n",
       " 53116672: 3,\n",
       " 53117097: 3,\n",
       " 53117098: 3,\n",
       " 53117160: 3,\n",
       " 53117166: 3,\n",
       " 53118296: 3,\n",
       " 53118299: 3,\n",
       " 53118366: 3,\n",
       " 53118368: 3,\n",
       " 53118372: 3,\n",
       " 53118374: 3,\n",
       " 53118376: 3,\n",
       " 53118380: 3,\n",
       " 53119042: 3,\n",
       " 53119160: 4,\n",
       " 53119162: 4,\n",
       " 53119164: 5,\n",
       " 53119166: 4,\n",
       " 53119168: 4,\n",
       " 53122757: 3,\n",
       " 53123865: 4,\n",
       " 53124803: 3,\n",
       " 53124805: 4,\n",
       " 53124807: 3,\n",
       " 53124973: 3,\n",
       " 53125573: 3,\n",
       " 53125575: 3,\n",
       " 53125725: 1,\n",
       " 53125973: 3,\n",
       " 53125974: 3,\n",
       " 53125997: 4,\n",
       " 53125999: 3,\n",
       " 53126000: 3,\n",
       " 53126347: 3,\n",
       " 53126350: 3,\n",
       " 53127240: 3,\n",
       " 53128727: 3,\n",
       " 53128729: 4,\n",
       " 53128733: 3,\n",
       " 53133008: 4,\n",
       " 53134176: 1,\n",
       " 53134227: 3,\n",
       " 53137611: 3,\n",
       " 53139048: 1,\n",
       " 53140452: 3,\n",
       " 53140454: 3,\n",
       " 53142555: 3,\n",
       " 53142908: 3,\n",
       " 53143484: 1,\n",
       " 53143485: 3,\n",
       " 53144226: 3,\n",
       " 53144229: 3,\n",
       " 53144625: 3,\n",
       " 53145205: 3,\n",
       " 53145241: 3,\n",
       " 53146451: 1,\n",
       " 53148306: 1,\n",
       " 53149343: 3,\n",
       " 53149344: 1,\n",
       " 53149520: 1,\n",
       " 53149671: 3,\n",
       " 53149673: 1,\n",
       " 53152062: 3,\n",
       " 53152069: 3,\n",
       " 53152083: 3,\n",
       " 53152921: 1,\n",
       " 53155115: 3,\n",
       " 53156140: 3,\n",
       " 53156142: 1,\n",
       " 53156408: 3,\n",
       " 53156410: 3,\n",
       " 53156415: 3,\n",
       " 53156417: 3,\n",
       " 53157145: 1,\n",
       " 206141021: 3,\n",
       " 206141022: 3,\n",
       " 245118228: 3,\n",
       " 245118288: 3,\n",
       " 245118387: 3,\n",
       " 245118772: 1,\n",
       " 245370192: 3,\n",
       " 245384115: 3,\n",
       " 245386862: 3,\n",
       " 245387557: 3,\n",
       " 245387832: 3,\n",
       " 245505298: 3,\n",
       " 245505820: 3,\n",
       " 246744892: 3,\n",
       " 247141128: 3,\n",
       " 247845825: 3,\n",
       " 256338428: 1,\n",
       " 256338808: 3,\n",
       " 256338809: 3,\n",
       " 256338812: 3,\n",
       " 256338813: 3,\n",
       " 256339663: 1,\n",
       " 256340150: 1,\n",
       " 256542898: 3,\n",
       " 256543149: 3,\n",
       " 260706808: 1,\n",
       " 260707479: 3,\n",
       " 260707482: 3,\n",
       " 305541020: 3,\n",
       " 305541919: 3,\n",
       " 311882161: 3,\n",
       " 311884105: 3,\n",
       " 317295773: 3,\n",
       " 317295778: 1,\n",
       " 317295966: 1,\n",
       " 317295988: 3,\n",
       " 317295990: 2,\n",
       " 317297719: 3,\n",
       " 317338958: 1,\n",
       " 317339068: 1,\n",
       " 317339074: 4,\n",
       " 317363251: 1,\n",
       " 317364095: 1,\n",
       " 370467066: 3,\n",
       " 432431093: 1,\n",
       " 433574682: 3,\n",
       " 442842707: 3,\n",
       " 682821166: 3,\n",
       " 682931951: 3,\n",
       " 683050066: 1,\n",
       " 683050115: 3,\n",
       " 683050120: 3,\n",
       " 683050194: 3,\n",
       " 683050204: 3,\n",
       " 683050219: 3,\n",
       " 683050221: 3,\n",
       " 683790465: 1,\n",
       " 683790519: 3,\n",
       " 686194326: 1,\n",
       " 686202982: 3,\n",
       " 687156433: 3,\n",
       " 697180263: 3,\n",
       " 697180285: 3,\n",
       " 702970702: 3,\n",
       " 702970720: 1,\n",
       " 741624608: 3,\n",
       " 956500319: 3,\n",
       " 2286923086: 3,\n",
       " 2286923094: 3,\n",
       " 2391023394: 3,\n",
       " 2391023402: 3,\n",
       " 2518218246: 3,\n",
       " 2833994093: 3,\n",
       " 2834031502: 3,\n",
       " 2834093713: 3,\n",
       " 2834814897: 4,\n",
       " 2834816916: 1,\n",
       " 2835329496: 1,\n",
       " 2890584258: 3,\n",
       " 3164025630: 2,\n",
       " 3164026063: 1,\n",
       " 3164026067: 3,\n",
       " 3581678802: 3,\n",
       " 3581678815: 1,\n",
       " 3695575152: 1,\n",
       " 3905291938: 1,\n",
       " 4606504193: 3,\n",
       " 4612591433: 1,\n",
       " 4614826929: 3,\n",
       " 4614826934: 1}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# how many streets emanate from each intersection?\n",
    "G.graph['streets_per_node']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## What's inside a NetworkX graph?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(53092207, {'osmid': 53092207, 'x': -122.2264515, 'y': 37.8155155}),\n",
       " (53090322, {'osmid': 53090322, 'x': -122.2368032, 'y': 37.8204243})]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# nodes\n",
    "list(G.nodes(data=True))[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(53092207,\n",
       "  53092210,\n",
       "  0,\n",
       "  {'geometry': <shapely.geometry.linestring.LineString at 0x232183814e0>,\n",
       "   'highway': 'residential',\n",
       "   'length': 142.95143879632437,\n",
       "   'name': 'La Salle Avenue',\n",
       "   'oneway': False,\n",
       "   'osmid': 6353636}),\n",
       " (53092207,\n",
       "  53050874,\n",
       "  0,\n",
       "  {'highway': 'residential',\n",
       "   'length': 184.8626715345085,\n",
       "   'name': 'Muir Avenue',\n",
       "   'oneway': False,\n",
       "   'osmid': 6367509})]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# edges\n",
    "list(G.edges(keys=True, data=True))[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAD1CAYAAABqZD1wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23218064a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# highlight all the cul-de-sacs\n",
    "nc = ['r' if G.graph['streets_per_node'][node]==1 else 'none' for node in G.nodes()]\n",
    "fig, ax = ox.plot_graph(G, node_color=nc, node_zorder=2, fig_height=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Calculate the network path from the centermost node to some other node\n",
    "Let the origin node be the node nearest the location and let the destination node just be the last node in the network. Then find the shortest path between origin and destination, using weight='length' to find the shortest spatial path (otherwise it treats each edge as weight=1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# define a lat-long point, create network around point, define origin/destination nodes\n",
    "location_point = (37.791427, -122.410018)\n",
    "G = ox.graph_from_point(location_point, distance=500, distance_type='network', network_type='walk')\n",
    "origin_node = ox.get_nearest_node(G, location_point)\n",
    "destination_node = G.nodes()[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[65326733, 65326736, 65332818, 65332815, 65319944, 65290756, 65290750]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the route between these nodes then plot it\n",
    "route = nx.shortest_path(G, origin_node, destination_node, weight='length')\n",
    "route"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'osmid': 65326733, 'x': -122.4107711, 'y': 37.7915424}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect the first node in the route\n",
    "G.node[route[0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "http://www.openstreetmap.org/node/65326733"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'geometry': <shapely.geometry.linestring.LineString at 0x2321982b7b8>,\n",
       "  'highway': 'residential',\n",
       "  'length': 74.15163586589111,\n",
       "  'name': 'Mason Street',\n",
       "  'oneway': False,\n",
       "  'osmid': 27166466}}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect the first edge in the route\n",
    "G.edge[route[0]][route[1]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "http://www.openstreetmap.org/way/27166466"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74.15163586589111"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is the first edge's length\n",
    "G.edge[route[0]][route[1]][0]['length']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "443.13354620656"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is the total length of the route?\n",
    "nx.shortest_path_length(G, origin_node, destination_node, weight='length')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAFkCAYAAAADoh2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x232195ed7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot it\n",
    "fig, ax = ox.plot_graph_route(G, route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVYAAAFiCAYAAACtRPA4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njMFKRGQzBisRkc3+B7dzEv8oPTpiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23218334a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# project the network to UTM (zone calculated automatically) then plot the network/route again\n",
    "G_proj = ox.project_graph(G)\n",
    "fig, ax = ox.plot_graph_route(G_proj, route)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Plot network path from one lat-long to another"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(850803362, 65290756)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# define origin/desination points then get the nodes nearest to each\n",
    "origin_point = (37.792896, -122.412325)\n",
    "destination_point = (37.790495, -122.408353)\n",
    "origin_node = ox.get_nearest_node(G, origin_point)\n",
    "destination_node = ox.get_nearest_node(G, destination_point)\n",
    "origin_node, destination_node"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[850803362, 633686735, 633686762, 633686748, 633686743, 850803353, 65295320, 65295314, 65295311, 65332818, 65332815, 65319944, 65290756]'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the shortest path between origin and destination nodes\n",
    "route = nx.shortest_path(G, origin_node, destination_node, weight='length')\n",
    "str(route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAFkCAYAAAADoh2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2321ab5feb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the route showing origin/destination lat-long points in blue\n",
    "fig, ax = ox.plot_graph_route(G, route, origin_point=origin_point, destination_point=destination_point)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Demonstrate routing with one-way streets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbUAAAFiCAYAAABxkUZKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x232198051d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G = ox.graph_from_address('N Sicily Pl, Chandler, Arizona', distance=800, network_type='drive')\n",
    "origin = (33.307792, -111.894940)\n",
    "destination = (33.312994, -111.894998)\n",
    "origin_node = ox.get_nearest_node(G, origin)\n",
    "destination_node = ox.get_nearest_node(G, destination)\n",
    "route = nx.shortest_path(G, origin_node, destination_node)\n",
    "fig, ax = ox.plot_graph_route(G, route, save=True, filename='route')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### Also, when there are parallel edges between nodes in the route, OSMnx picks the shortest edge to plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc4AAAFiCAYAAAB/ODglAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nHBicREREcfj/cMh5QrinR6EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2321958bac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "location_point = (33.299896, -111.831638)\n",
    "G = ox.graph_from_point(location_point, distance=500, clean_periphery=False)\n",
    "origin = (33.301821, -111.829871)\n",
    "destination = (33.301402, -111.833108)\n",
    "origin_node = ox.get_nearest_node(G, origin)\n",
    "destination_node = ox.get_nearest_node(G, destination)\n",
    "route = nx.shortest_path(G, origin_node, destination_node)\n",
    "fig, ax = ox.plot_graph_route(G, route)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
